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Content

Nudging physicians and patients with autopend clinical decision support to improve diabetes management.

Description

Panattoni L, Chan A, Yang Y, Olson C, Tai-Seale M., Am J Manag Care. 24(10):479-483., 2018 Oct 01

Investigators

Albert Chan, M.D., M.S., FAAFP

Abstract

OBJECTIVES: To determine the impact on routine glycated hemoglobin (A1C) laboratory test completion of incorporating an autopend laboratory order functionality into clinical decision support, which (1) routed provider alerts to a separate electronic folder, (2) automatically populated preauthorization forms, and (3) linked the timing and content of electronic patient health maintenance topic (HMT) reminders to the provider authorization.

STUDY DESIGN: Observational pre-post study from November 2011 (1 year before autopend) through June 2014 (1.5 years after).METHODS: The study included HMT reminders concerning an A1C test for patients with type 1 or type 2 diabetes (N = 15,630 HMT reminders; 8792 patients) in a large multispecialty ambulatory healthcare system. A Cox proportional hazard model, adjusted for patient and provider demographics, estimated the likelihood of laboratory test completion based on 3 HMT reminder characteristics: preautopend versus postautopend period, read versus unread, and the patient's time to reading.

RESULTS: In the postautopend period, the median time for patients to read reminders decreased (1 vs 3 days; P <.001) and the median time to complete laboratory tests decreased (40 vs 48 days; P <.001). Comparing preautopend HMT reminders with a similar time to reading, the likelihood of A1C laboratory test completion increased after autopend by between 21.1% (hazard ratio [HR], 1.211; P = .050), when time to reading was 57 days, and 33.9% (HR, 1.339; P = .003), when time to reading was 0 days. This result included 68% of the reminders. There was no statistical difference in A1C laboratory test completion for unread reminders in the preautopend versus postautopend period.

CONCLUSIONS: Automated patient-centered decision support can improve guideline-concordant monitoring of A1C among patients with diabetes, particularly among patients who read reminders in a timely fashion.

Pubmed Abstract

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Associated Topics

  • Diabetes, Insulin Resistance and Metabolic Syndrome
  • Disease Management
  • Medical Informatics

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